Oncology | Radiology Deep-learning-based reconstruction of undersampled MRI to reduce scan times: a multicentre, retrospective, cohort study. February 29, 2024
Neurology | Radiology Deep Learning-based Identification of Brain MRI Sequences Using a Model Trained on Large Multicentric Study Cohorts. January 2, 2024
Neurology | Radiology Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke. August 15, 2023
Neurology | Oncology | Radiology Assessing the added value of apparent diffusion coefficient, cerebral blood volume, and radiomic magnetic resonance features for differentiation of pseudoprogression versus true tumor progression in patients with glioblastoma. March 27, 2023
Neuro-Oncology | Oncology | Radiology Deep learning super-resolution magnetic resonance spectroscopic imaging of brain metabolism and mutant isocitrate dehydrogenase glioma. August 1, 2022
Neuro-Oncology | Radiology Deep-learning-based synthesis of post-contrast T1-weighted MRI for tumour response assessment in neuro-oncology: a multicentre, retrospective cohort study. October 24, 2021
Neurology | Radiology Automated brain extraction of multisequence MRI using artificial neural networks. August 12, 2019
Neurology | Radiology Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study. July 1, 2019